kukapay/rug-check-mcp

An MCP server that detects potential risks in Solana meme tokens, helping AI agents avoid rug pulls and unsafe projects.
Features
- **Token Analysis Tool**: The analysis_token tool retrieves and processes Solana token data from the Solsniffer API.
- **Structured Output**: Returns detailed token information including name, symbol, Snif score, market cap, price, supply, risks, and audit status.
Prerequisites
- Python 3.10 or higher
- A Solsniffer API key (sign up at Solsniffer to obtain one)
Installation
Installing via Smithery
To install Rug Check for Claude Desktop automatically via Smithery:
Manual Installation
1. **Clone the Repository**:
2. **Install Dependencies**:
Ensure you have pip installed, then run:
3. **Client Configuration**:
Tool: analysis_token
- **Description**: Analyzes a Solana token based on its address.
- **Input**: token_address (string) - The Solana token address to analyze.
- **Output**: A dictionary containing:
- token_address: Token address
- token_name: Token name
- token_symbol: Token symbol
- snif_score: Solsniffer risk score (0-100)
- market_cap: Market capitalization in USD
- price: Token price in USD
- supply_amount: Total supply of the token
- risks: High, moderate, and low risk details with counts and descriptions
- audit_risk: Audit status (mint/freeze disabled, LP burned, top 10 holders)
Example Output
For token address 9VxExA1iRPbuLLdSJ2rB3nyBxsyLReT4aqzZBMaBaY1p:
Prompt Examples
Below are examples of prompts you might use in an MCP-compatible client (e.g., Claude Desktop) and the expected responses after the analysis_token tool is invoked.
**Prompt**:
> "Can you analyze the Solana token at address 9VxExA1iRPbuLLdSJ2rB3nyBxsyLReT4aqzZBMaBaY1p?"
**Response**:
**Prompt**:
> "What’s the risk profile of the token So11111111111111111111111111111111111111112?"
**Response**:
**Prompt**:
> "Tell me about the token 4k3Dyjzvzp8eMZWUXbBCjEvwSkkk59S5iCNLY3QrkX6R."